Bibliographic record
Abstract
Abstract. This paper gives an overview of the Canadian Dense Array Imaging SYstem (DAISY) and its prototype data. The Dense Array is designed to work as campaign instrumentation and consists of three imagers with different narrow (compared to all-sky view) field-of-view optics. One of the main scientific motivations relates to an earlier study by Knudsen et al. (2001) who used All-Sky Imager and TV camera observations to argue that there is a gap in the distri-bution of auroral arc widths around 1 km. With DAISY we will be able to show whether the gap is real or an instrumen-tal artifact due to inadequate spatial resolution. If the gap is real, it would be an important clue in identifying the mech-anisms of auroral arc generation. In this paper, we describe and discuss the DAISY imagers and show the width distribu-tion of the auroral structures observed by DAISY prototype. We also compare our findings with the Knudsen et al. (2001) results. 1
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".